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Predicting liver cyst severity by mutations in patients with autosomal-dominant polycystic kidney disease

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Abstract

Background

Most patients with autosomal-dominant polycystic kidney disease (ADPKD) develop liver cysts and polycystic liver disease as they age. To date, no simple clinical indicator has been confirmed to predict polycystic liver disease exacerbation. Furthermore, the effect of the type and location of mutation on disease progression of polycystic liver disease remains unclear. Here, we aimed to establish a simple liver cyst indicator for clinical practice and investigate whether gene mutations determined liver phenotype in patients with autosomal-dominant polycystic kidney disease.

Methods

In total, 129 patients with ADPKD were enrolled and liver cyst indicators were assessed based on mutation type (truncating mutation: nonsense, frameshift, and splicing mutation; non-truncating mutation: substitution) and mutation position. Liver cyst severity was determined using Gigot and Drenth classifications, based on their number, maximum diameter, and area ratio with the liver.

Results

We observed an overall prevalence of 62.8% for polycystic liver disease. Patients with PKD1 nonsense mutations, a type of PKD1 truncating mutation, exhibited more severe liver disease phenotypes than those without the mutation. We identified maximum diameter as a potential liver cyst indicator. Moreover, a subgroup analysis that included a PKD1 nonsense mutation cohort revealed that genetic mutations located closer to the 5ʹ end of PKD1 were associated with a maximum diameter index value ≥ 6 cm.

Conclusion

PKD1 nonsense mutations were associated with liver cyst severity, which along with maximum diameter index as a simple clinical indicator for liver cysts, may improve the treatment of polycystic liver disease associated with ADPKD.

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Funding

This study was supported in part by Japan Society for the Promotion of Science (KAKENHI Grant Number JP 15K09279) and by a Grant-in-Aid for Intractable Renal Diseases Research, Research on rare and intractable diseases, Health and Labor Sciences Research Grants from the Ministry of Health, Labor and Welfare of Japan.

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Authors and Affiliations

Authors

Contributions

Conceptualization: HK, and TM; data curation: SW, HK, NI, RY, and TM; formal analysis: HK; writing—original draft: HK; validation: HK, MS, SM (Shun Manabe), SM (Shiho Makabe), TA, YU, and TM; supervision: TM, KT, and KN. All authors contributed important intellectual content during manuscript drafting or revision and accept personal accountability for their contributions, and agree to ensure that questions pertaining to the accuracy or integrity of any portion of the work are appropriately investigated and resolved. All authors had access to the study data and reviewed and approved the final manuscript.

Corresponding author

Correspondence to Toshio Mochizuki.

Ethics declarations

Conflicts of interest

Toshio Mochizuki and Ken Tsuchiya received travel fees and honoraria for lectures from Otsuka Pharmaceutical Co. Toshio Mochizuki and Hiroshi Kataoka belong to an endowed department sponsored by Otsuka Pharmaceutical Co., Chugai Pharmaceutical Co., Kyowa Hakko Kirin Co., and JMS Co.

Ethics approval

The study was conducted in accordance with the Helsinki Declaration of 1975, as revised in 2008 and approved by the Research Ethics Committee of Tokyo Women’s Medical University (No. 196B).

Animal Research (Ethics)

Not applicable.

Clinical Trials Registration

Not applicable.

Informed consent

All procedures followed were in accordance with the ethical standards of the responsible committee on human experimentation (institutional and national) and with the Helsinki Declaration of 1975, as revised in 2008 (5). Informed consent was obtained from all patients for being included in the study.

Consent to participate

Informed consent was obtained from all patients to participate in the study.

Consent for publication

Informed consent was obtained from all patients to be included in this manuscript.

Availability of data and material

The datasets generated during and/or analyzed during the current study are not publicly available but are available from the corresponding author on reasonable request.

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Kataoka, H., Watanabe, S., Sato, M. et al. Predicting liver cyst severity by mutations in patients with autosomal-dominant polycystic kidney disease. Hepatol Int 15, 791–803 (2021). https://doi.org/10.1007/s12072-021-10176-9

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  • DOI: https://doi.org/10.1007/s12072-021-10176-9

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